ML&DL@FZJ.md

@@ -5,11 +5,12 @@
 Please add short paragraphs about each project, naming scientific question/target, application area, used methods, and main outcome. If given provide a link to the according webpage.
 Provide the *name* of the responsible person and a *date*.
 
-# Highlights
+<!--# Highlights
 
 Most recent (almost) published results from FZJ related to ML&DL
 
 * "Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric", accepted IJCNN 2019. This work by Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff and Kaustubh R. Patil from INM-7 looks at the unsolved problem of how to estimate the rank of NNMF decomposition for a given dataset. In this work various existing and a novel method were compared on simulated and real world data.
+-->
 
 # Groups at FZJ, dealing with ML and DL
 
@@ -90,6 +91,7 @@ Domains and use cases:
     * High-Throughput Image-Base Cohort Phenotyping (INM-1)
     * Multi-Scale Multi-Area Interaction in Cortical Networks (INM-6)
 
+<!--
 # Work in progress
 
 Ongoing work at FZJ related to ML&DL
@@ -101,6 +103,7 @@ Ongoing work at FZJ related to ML&DL
 
 tbd
 
+-->
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